MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. حسب Tehnan I. A. Mohamed (16846175)

Proposed Algorithm. حسب Hend Bayoumi (22693738)

الموضوعات:

Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

الموضوعات:

Comparison between ILSTM and deep learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Classification baseline performance. حسب Doaa Sami Khafaga (21463870)

"…To overcome these limitations, this study introduces a comprehensive deep learning framework enhanced with the innovative bio-inspired Ocotillo Optimization Algorithm (OcOA), designed to improve the accuracy and efficiency of bone marrow cell classification. …"

Feature selection results. حسب Doaa Sami Khafaga (21463870)

"…To overcome these limitations, this study introduces a comprehensive deep learning framework enhanced with the innovative bio-inspired Ocotillo Optimization Algorithm (OcOA), designed to improve the accuracy and efficiency of bone marrow cell classification. …"

ANOVA test result. حسب Doaa Sami Khafaga (21463870)

"…To overcome these limitations, this study introduces a comprehensive deep learning framework enhanced with the innovative bio-inspired Ocotillo Optimization Algorithm (OcOA), designed to improve the accuracy and efficiency of bone marrow cell classification. …"

Summary of literature review. حسب Doaa Sami Khafaga (21463870)

"…To overcome these limitations, this study introduces a comprehensive deep learning framework enhanced with the innovative bio-inspired Ocotillo Optimization Algorithm (OcOA), designed to improve the accuracy and efficiency of bone marrow cell classification. …"

Comparison between ILSTM and machine learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Initial parameter settings for the optimization algorithms. حسب Doaa Sami Khafaga (21463870)

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm حسب Hussein Ali Bardan (21976208)

"…Our results show that deep learning and optimization </p><p dir="ltr">methods, such as the binary GWO algorithm, can be successfully applied to melanoma diagnosis. …"

An Example of a WPT-MEC Network. حسب Hend Bayoumi (22693738)

الموضوعات:

Bar chart comparing the average fitness values of various feature selection algorithms. حسب Doaa Sami Khafaga (21463870)

Box plots with swarm overlays for six feature selection algorithms, annotated with mean and standard deviation values. حسب Doaa Sami Khafaga (21463870)

Related Work Summary. حسب Hend Bayoumi (22693738)

الموضوعات:

Simulation parameters. حسب Hend Bayoumi (22693738)

الموضوعات:

Training losses for N = 10. حسب Hend Bayoumi (22693738)

الموضوعات:

Normalized computation rate for N = 10. حسب Hend Bayoumi (22693738)

الموضوعات:

Summary of Notations Used in this paper. حسب Hend Bayoumi (22693738)

الموضوعات: